System Identification Study of a 7-Story Full-Scale Building Slice Tested on the UCSD-NEES Shake Table
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Structural Engineering
Volume 137, Issue 6
Abstract
A full-scale 7-story reinforced concrete building slice was tested on the unidirectional University of California–San Diego Network for Earthquake Engineering Simulation (UCSD-NEES) shake table during the period from October 2005 to January 2006. A rectangular wall acted as the main lateral force resisting system of the building slice. The shake table tests were designed to damage the building progressively through four historical earthquake records. The objective of the seismic tests was to validate a new displacement-based design methodology for reinforced concrete shear wall building structures. At several levels of damage, ambient vibration tests and low-amplitude white noise base excitation tests were applied to the building, which responded as a quasi-linear system with dynamic parameters evolving as a function of structural damage. Six different state-of-the-art system identification algorithms, including three output-only and three input-output methods were used to estimate the modal parameters (natural frequencies, damping ratios, and mode shapes) at different damage levels based on the response of the building to ambient as well as white noise base excitations, measured using DC-coupled accelerometers. The modal parameters estimated at various damage levels using different system identification methods are compared to (1) validate/cross-check the modal identification results and study the performance of each of these system identification methods, and to (2) investigate the sensitivity of the identified modal parameters to actual structural damage. For a given damage level, the modal parameters identified using different methods are found to be in good agreement, indicating that these estimated modal parameters are likely to be close to the actual modal parameters of the building specimen.
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Acknowledgments
Partial support for this research from Lawrence Livermore National Laboratory with Dr. David McCallen as program leader and from Englekirk Center Board of Advisors are gratefully acknowledged. The authors would also like to thank Dr. Ozgur Ozcelik and the technical staff at the Englekirk Structural Engineering Center for their help in collecting the test data. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.
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© 2011 American Society of Civil Engineers.
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Received: Jul 28, 2009
Accepted: Aug 2, 2010
Published online: Aug 25, 2010
Published in print: Jun 1, 2011
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